MaintainX
Senior Product Data Scientist
United States (All hubs) · Senior
Sponsorship not specifiedDetected 42 days ago
PythonDatabricksMachine Learningscikit-learnData ScienceA/B TestingCommunicationCollaboration
About the role
- Translate model outputs and experimental results into clear business narratives for senior stakeholders and executives
- Establish best practices for experimentation and ML workflows
- We're hiring a Senior Product Data Scientist to join our Product Analytics team.
Responsibilities
- Design and lead product experimentation programs (A/B tests, causal inference) that drive measurable improvements in product adoption and retention
- Build and deploy ML models - GBMs, random forests, logistic regression - that turn product signals into actionable decisions for PMs and engineering leads
- Partner cross-functionally with Product, Design, and Engineering to frame business problems as data problems and translate findings into decisions
- We promote quickly when people deliver, and we have honest conversations early when fit isn't right.
Requirements
- Senior Product Data Scientist or Senior Data Scientist title with 5-7 years of relevant experience
- Hands-on experience with product experimentation - A/B testing, causal inference, statistical significance
- Python proficiency including scikit-learn and MLflow
- Experience with Databricks
- Familiarity with Amplitude or similar event analytics platforms
Skills
- MaintainX is the world's leading mobile-first work execution platform for industrial and frontline teams.
Compensation
- $500 home office stipend · $1K annual L&D budget
Benefits
- Competitive base + equity in a high-growth, post-Series D company
- Day-1 benefits coverage - health, dental, vision
- $500 home office stipend · $1K annual L&D budget
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This listing is sourced directly from MaintainX's careers page and normalized into a canonical job model.